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E-raamat: Use of Applied Technology in Team Sport

Edited by , Edited by (Universidad del País Vasco, Spain)
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The Use of Applied Technology in Team Sport describes and assists researchers, academics and professionals with understanding the methodology around applied technology in sport examining; what systems track players performance, who are the manufacturers that provide these systems.



The use of technology within sport is well established, most professional sport teams engage in the use of electronic performance and tracking systems. This book is the first to offer a deep and structured examination of these technologies and how they are used in a team sport setting.

The Use of Applied Technology in Team Sport

describes and assists researchers, academics and professionals with understanding the methodology around applied technology in sport, examining what systems track players’ performance and who are the manufacturers that provide these systems.

This new volume goes on to describe how to apply the systems, highlights the ways of reporting analysis information and helps the reader to know and understand the future avenues of research and development.

The Use of Applied Technology in Team Sport

is considered an essential guide for researchers, academics and students as well as professionals working in the areas of Applied Sport Science, Coaching, and subjects relating to Physiology, Biomechanics, Sports Engineering, Sports Technology and Performance Analysis in Sport.

Part I: Data Collection Technology

1. Standarization Of Electronic Performance and Tracking Systems

2. Semi-Automatic Multiple Camera Systems

3. Global Navigation Satellite Systems

4. Local Positioning Systems

5. Microelectromechanical Systems

6. Wearables for the Internal Workload Monitoring: Combined Hear Rate and
Mechanical Sensors

Part II: Data Transmission

7. Data Acquisition and Transmission

8. Real-Time Feedback: An Update

Part III: Data Processing: Performance Variables

9. Kinematical Variables

10. Collective Tactical Variables

11. Neuromuscular Variables

12. Physiological Variables Training Impulse and Heart Rate Variability

13. Multidimensional Variables

Part IV: Big Data and Reduction Techniques

14. Big Data Applied to Team Sport Athletes´ Performance

15. Data Mining in Sports: The Case of Principal Component Analysis

Part V: Computer Vision and Machine Learning

16. Computer Vision

17. Machine Learning
José Pino-Ortega is Titular Professor in University of Murcia, Spain, and researcher of the BIOVETMED & SPORTSCI Research Group from the same university. He has a Ph.D. in Sport SciencesApplied technology to Sport in Faculty of Sport Science from University of Murcia, Spain.

Markel Rico-González is a researcher of both University of Basque Country, Spain, and BIOVETMED & SPORTSCI Research Group from University of Murcia, Spain. He has a Ph.D. in Sport Sciences Team Sports Performance and Applied Technology and Applied Technology in Faculty of Education and Sport from the University of Basque Country.
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